Health
New machine learning-based approach helps detect atrial fibrillation drivers – News-Medical.Net
Researchers from Skoltech and their US colleagues have designed a new machine learning-based approach for detecting atrial fibrillation drivers, small patches of…
Reviewed by Emily Henderson, B.Sc.Oct 29 2020
Researchers from Skoltech and their US colleagues have designed a new machine learning-based approach for detecting atrial fibrillation drivers, small patches of the heart muscle that are hypothesized to cause this most common type of cardiac arrhythmia. This approach may lead to more efficient targeted medical interventions to treat the condition that is estimated to affect more than 33 million people worldwide, according to the American Heart Association….
-
Noosa News19 hours agoIncrease in extreme weather events poses ‘substantial risk’ to blood supplies, researchers warn
-
General23 hours agoGerman palliative care doctor with alleged ‘lust for murder’ accused of killing 15 patients
-
Noosa News9 hours agoAustralians tell ABC’s Your Say how they saw the second leaders debate
-
Noosa News14 hours agoManjimup engineer turns previously wasted avocados into liquid gold